Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Preferences
Contact Us
Feedback
AWS Documentation
Create an AWS Account

Creating AWS video analyzer applications

PDF
RSS
Focus mode
Creating AWS video analyzer applications - Amazon Rekognition
PrerequisitesProcedure

You can create a Java web application that analyzes videos for label detection by using the AWS SDK for Java version 2. The application created in this AWS tutorial lets you upload a video (MP4 file) to an Amazon S3 bucket. Then the appliction uses the Amazon Rekognition service to analyze the video. The results are used to populate a data model and then a report is generated and emailed to a specific user by using the Amazon Simple Email Service.

The following illustration shows a report that is generated after the application completes analyzing the video. The columns in the table below show Age Range, Beard, Eye glasses, and Eyes open, as well as confidence values for different attribute predictions.

Table with columns for Age Range, Beard, Eye glasses, and Eyes open, showing confidence values for different attribute predictions.

In this tutorial, you create a Spring Boot application that invokes various AWS services. The Spring Boot APIs are used to build a model, different views, and a controller. For more information, see Spring Boot.

This service uses the following AWS services:

The AWS services included in this tutorial are included in the AWS Free Tier. We recommend that you terminate all of the resources you create in the tutorial when you are finished with them to avoid being charged.

Prerequisites

Before you begin, you need to complete the steps in Setting Up the AWS SDK for Java. Then make sure that you have the following:

  • Java 1.8 JDK.

  • Maven 3.6 or later.

  • An Amazon S3 bucket named video[somevalue]. Be sure to use this bucket name in your Amazon S3 Java code. For more information, see Creating a bucket.

  • An IAM role. You need this for the VideoDetectFaces class that you will create. For more information, see Configuring Amazon Rekognition Video.

  • A valid Amazon SNS topic. You need this for the VideoDetectFaces class that you will create. For more information, see Configuring Amazon Rekognition Video.

Procedure

In the course of the tutorial, you do the following:

  1. Create a project

  2. Add the POM dependencies to your project

  3. Create the Java classes

  4. Create the HTML files

  5. Create the script files

  6. Package the project into a JAR file

  7. Deploy the application to AWS Elastic Beanstalk

To proceed with the tutorial, follow the detailed instructions in the AWS Documentation SDK examples GitHub repository.

On this page

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.